New Riemannian techniques for directional and tensorial image data
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Publication:962734
DOI10.1016/j.patcog.2009.09.017zbMath1191.68806OpenAlexW1992596692WikidataQ60431095 ScholiaQ60431095MaRDI QIDQ962734
Publication date: 7 April 2010
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2009.09.017
edge detectionorientationsGaussian filteranisotropic diffusionmedian filterdiffusion tensor MRInon-Euclidean imagesRiemannian filteringRiemannian weighted mean
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)
Related Items (4)
\(L^\alpha \) Riemannian weighted centers of mass applied to compose an image filter to diffusion tensor imaging ⋮ Similarity Measures for Radial Data ⋮ A nonparametric Riemannian framework on tensor field with application to foreground segmentation ⋮ A two-phase-like proximal point algorithm in domains of positivity
Cites Work
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- Numerical Methods forp-Harmonic Flows and Applications to Image Processing
- A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices
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